Title
Model održivog upravljanja vodnim resursima u uslovima ekstremnih hidroloških pojava
Creator
Stanković, Sandra, 1991-
CONOR:
15860839
Copyright date
2024
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 08.04.2025.
Other responsibilities
Academic Expertise
Društveno-humanističke nauke
University
Univerzitet u Nišu
Faculty
Fakultet zaštite na radu
Group
Katedra za kvalitet radne i životne sredine
Alternative title
Model of sustainable water resources management in terms of extreme hydrological phenomena
Publisher
[S. M. Stanković]
Format
[14], 250 listova
description
Biografija autora: list 247.
Bibliografija: listovi 210-232.
description
Working and living environment quality
Abstract (en)
The growing economic, ecological, and social importance of water
resources highlights the need for adopting sustainable management
strategies and protecting the ecosystem services they provide. Although
extreme hydrological events are frequently the subject of scientific research,
there remains a significant information deficit regarding their direct impact
on the quality of raw surface water, which is the primary source of water for
public water supply systems. The research conducted in this dissertation
focuses on developing a model for sustainable management of water
resources during extreme hydrological events. The study was carried out
using examples from two public utility sources: "Vodovod" from Vlasotince
and "Naissus" from Niš, over the observed period from January 2014 to
December 2018. To identify, systematize, and determine priorities for
executing functions within the system for managing primary ecosystem
services, particularly in the context of public water supply, a methodology
of process functions combined with ranking techniques was applied. This
approach enabled the quantification and assessment of the effectiveness of
business operations while simultaneously identifying specific process
functions that required further improvements. For assessing the impact of
extreme hydrological events on the quality of raw surface water, statistical
analyses were used, including: descriptive statistics, one-way analysis of
variance (ANOVA), correlation analysis of trends, cluster analysis, and
principal components analysis (PCA). These analyses facilitated the
characterization, quantification, and visualization of the impacts of extreme
hydrological events on raw surface water quality. These analyses allowed
for the quantification of the dependencies between volumetric flows and
raw water quality parameters, including turbidity, COD (KMnO4),
ammonia, nitrates, nitrites, iron, manganese, pH value, BOD5, aluminum
and colour. The analyses were conducted using statistical programs R 4.0.4
and SPSS, characterizing changes in raw surface water quality due to flow
variations associated with extreme hydrological events. The results of the
research have been used to develop a contemporary, sustainable water
resource management model that includes a predictive component enabling
the anticipation of potential changes in the quality and availability of raw
water. This contributes to the application of appropriate drinking water
treatment technology and facilitates timely action during extreme
hydrological events.
Authors Key words
vodni resursi, vodovodni sistemi, ekstremne hidrološke pojave,
kvalitet sirove vode, održivo upravljanje
Authors Key words
water resources, water Supply systems, extreme hydrological events,
raw water quality, sustainable management
Classification
502.131.1:502.5]:556(043.3)
Type
Tekst
Abstract (en)
The growing economic, ecological, and social importance of water
resources highlights the need for adopting sustainable management
strategies and protecting the ecosystem services they provide. Although
extreme hydrological events are frequently the subject of scientific research,
there remains a significant information deficit regarding their direct impact
on the quality of raw surface water, which is the primary source of water for
public water supply systems. The research conducted in this dissertation
focuses on developing a model for sustainable management of water
resources during extreme hydrological events. The study was carried out
using examples from two public utility sources: "Vodovod" from Vlasotince
and "Naissus" from Niš, over the observed period from January 2014 to
December 2018. To identify, systematize, and determine priorities for
executing functions within the system for managing primary ecosystem
services, particularly in the context of public water supply, a methodology
of process functions combined with ranking techniques was applied. This
approach enabled the quantification and assessment of the effectiveness of
business operations while simultaneously identifying specific process
functions that required further improvements. For assessing the impact of
extreme hydrological events on the quality of raw surface water, statistical
analyses were used, including: descriptive statistics, one-way analysis of
variance (ANOVA), correlation analysis of trends, cluster analysis, and
principal components analysis (PCA). These analyses facilitated the
characterization, quantification, and visualization of the impacts of extreme
hydrological events on raw surface water quality. These analyses allowed
for the quantification of the dependencies between volumetric flows and
raw water quality parameters, including turbidity, COD (KMnO4),
ammonia, nitrates, nitrites, iron, manganese, pH value, BOD5, aluminum
and colour. The analyses were conducted using statistical programs R 4.0.4
and SPSS, characterizing changes in raw surface water quality due to flow
variations associated with extreme hydrological events. The results of the
research have been used to develop a contemporary, sustainable water
resource management model that includes a predictive component enabling
the anticipation of potential changes in the quality and availability of raw
water. This contributes to the application of appropriate drinking water
treatment technology and facilitates timely action during extreme
hydrological events.
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